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Metabase MCP Server

@cheukyin175

Repository

About Metabase MCP Server

Metabase MCP server provides integration with the Metabase API, enabling LLM with MCP capabilites to directly interact with your analytics data, this server acts as a bridge between your analytics platform and conversational AI.

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "metabase-mcp": {
      "command": "uvx",
      "args": [
        "metabase-mcp"
      ]
    }
  }
}

Tools

No tools detected

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Metabase MCP?

A Model Context Protocol (MCP) server that connects AI assistants like Claude, Cursor, and other MCP clients to a Metabase instance. It enables querying databases, executing SQL, managing dashboards, and automating analytics workflows through natural language. Designed for data analysts, developers, and teams integrating AI with Metabase business intelligence.

How to use Metabase MCP?

Install via uvx metabase-mcp (no installation required) or pip install metabase-mcp. Configure a .env file with Metabase credentials (API key or email/password). Run the server with uvx metabase-mcp or from source using uv run python server.py. Additional transport options: --sse for SSE, --http for HTTP.

Key features of Metabase MCP

  • List databases, explore tables, and inspect fields with metadata
  • Execute native SQL queries with parameter support and templating
  • Execute MongoDB queries with automatic JSON conversion
  • Run, create, and manage Metabase cards/questions
  • Create and organize collections for better data organization
  • Secure authentication via API keys or email/password

Use cases of Metabase MCP

  • Let AI assistants query Metabase databases using plain English
  • Automate the creation and organization of Metabase cards and collections
  • Use AI for data exploration and insight discovery
  • Get AI help writing and optimizing SQL queries
  • Integrate AI-powered analytics into development workflows

FAQ from Metabase MCP

How does Metabase MCP authenticate with Metabase?

It supports API key authentication (recommended) or email/password authentication, configured via environment variables in a .env file.

What Python version is required?

Python 3.12+ is required.

Does it support MongoDB queries?

Yes, the server can execute native MongoDB queries with automatic JSON conversion for aggregation pipelines.

What transport methods are available?

STDIO (default for IDE integration), SSE (Server-Sent Events), and HTTP (standard HTTP for API access).

Can I run the server without installing it?

Yes, using uvx metabase-mcp runs the server directly without a permanent installation.

Frequently asked questions

How does Metabase MCP authenticate with Metabase?

It supports API key authentication (recommended) or email/password authentication, configured via environment variables in a `.env` file.

What Python version is required?

Python 3.12+ is required.

Does it support MongoDB queries?

Yes, the server can execute native MongoDB queries with automatic JSON conversion for aggregation pipelines.

What transport methods are available?

STDIO (default for IDE integration), SSE (Server-Sent Events), and HTTP (standard HTTP for API access).

Can I run the server without installing it?

Yes, using `uvx metabase-mcp` runs the server directly without a permanent installation.

Comments

Basic information

Category

Data & Analytics

License

MIT

Transports

stdio

Author

cheukyin175

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